SP-P2: Machine Learning and Acoustic Modeling |
Session Type: Poster |
Time: Tuesday, March 27, 14:00 - 16:00 |
Location: Poster Area B
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Session Chairs: Patrick Nguyen, Google, Inc. and Takahiro Shinozaki, Chiba University
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SP-P2.1: SEQUENTIAL DEEP BELIEF NETWORKS
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Galen Andrew; University of Washington
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Jeff Bilmes; University of Washington
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SP-P2.2: MULTILINGUAL MLP FEATURES FOR LOW-RESOURCE LVCSR SYSTEMS
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Samuel Thomas; The Johns Hopkins University
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Sriram Ganapathy; The Johns Hopkins University
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Hynek Hermansky; The Johns Hopkins University
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SP-P2.3: UNDERSTANDING HOW DEEP BELIEF NETWORKS PERFORM ACOUSTIC MODELLING
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Abdel-Rahman Mohamed; University of Toronto
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Geoffrey Hinton; University of Toronto
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Gerald Penn; University of Toronto
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SP-P2.4: APPLYING CONVOLUTIONAL NEURAL NETWORKS CONCEPTS TO HYBRID NN-HMM MODEL FOR SPEECH RECOGNITION
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Ossama Abdel-Hamid; York University
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Abdel-Rahman Mohamed; University of Toronto
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Hui Jiang; York University
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Gerald Penn; University of Toronto
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SP-P2.5: A FAST COMPRESSIVE SENSING APPROACH FOR PHONEME CLASSIFICATION
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Armin Saeb; Islamic Azad University, Shahr-e-Rey Branch
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Farbod Razzazi; Islamic Azad University, Science and Research Branch
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SP-P2.6: CLASSIFICATION MARGIN FOR IMPROVED CLASS-BASED SPEECH RECOGNITION PERFORMANCE
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Denis Jouvet; INRIA - LORIA
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Nicolas Vinuesa; INRIA - LORIA
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SP-P2.7: UNSEEN NOISE ROBUST SPEECH RECOGNITION USING ADAPTIVE PIECEWISE LINEAR TRANSFORMATION
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Keigo Chijiiwa; The University of Tokyo
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Masayuki Suzuki; The University of Tokyo
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Nobuaki Minematsu; The University of Tokyo
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Keikichi Hirose; The University of Tokyo
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SP-P2.8: A TANDEM CONNECTIONIST MODEL USING COMBINATION OF MULTI-SCALE SPECTRO-TEMPORAL FEATURES FOR ACOUSTIC EVENT DETECTION
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Miquel Espi; The University of Tokyo
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Masakiyo Fujimoto; NTT Corporation
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Daisuke Saito; The University of Tokyo
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Nobutaka Ono; National Institute of Informatics
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Shigeki Sagayama; The University of Tokyo
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SP-P2.9: FACTORIAL HIDDEN RESTRICTED BOLTZMANN MACHINES FOR NOISE ROBUST SPEECH RECOGNITION
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Steven Rennie; IBM
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Petr Fousek; IBM
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Pierre Dognin; IBM
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SP-P2.10: STRANDED GAUSSIAN MIXTURE HIDDEN MARKOV MODELS FOR ROBUST SPEECH RECOGNITION
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Yong Zhao; Georgia Institute of Technology
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Biing-Hwang (Fred) Juang; Georgia Institute of Technology
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SP-P2.11: LASSO ENVIRONMENT MODEL COMBINATION FOR ROBUST SPEECH RECOGNITION
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Xiong Xiao; Nanyang Technological University
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Jinyu Li; Microsoft Corporation
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Eng-Siong Chng; Nanyang Technological University
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Haizhou Li; Institute for Infocomm Research
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SP-P2.12: EASY DOES IT: ROBUST SPECTRO-TEMPORAL MANY-STREAM ASR WITHOUT FINE TUNING STREAMS
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Suman Ravuri; ICSI/University of California at Berkeley
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Nelson Morgan; ICSI/University of California at Berkeley
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